Research Article
Formulations for Estimating Spatial Variations of Analysis Error Variance to Improve Multiscale and Multistep Variational Data Assimilation
Table 4
As in Table
1 but for the two-dimensional case in Figure
10 in which the first set of two-dimensional innovations is used with periodic extension.
| Experiment | | ā | ā | Final |
| SE | 0.742 | 0.364 | 0.154 | 0.071 at | TEe with RE() = 0.233 | 0.394 | 0.185 | 0.108 | 0.104 at | TEa with RE() = 0.181 | 0.397 | 0.186 | 0.102 | 0.097 at | TEb with RE() = 0.130 | 0.403 | 0.183 | 0.089 | 0.085 at | TEc with RE() = 0.038 | 0.397 | 0.160 | 0.064 | 0.059 at |
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